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                <div id="site-name"><a href="../../sphinx_pages/build/html/index.html">Shark machine learning library</a></div>
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<div class="textblock">Here is a list of all typedefs with links to the classes they belong to:</div>

<h3><a id="index_c" name="index_c"></a>- c -</h3><ul>
<li>CachedBlockMatrixType&#160;:&#160;<a class="el" href="classshark_1_1_epsilon_svm_trainer.html#ac3292f6302b431cb751edc7a4dcf6c74">shark::EpsilonSvmTrainer&lt; InputType, CacheType &gt;</a></li>
<li>CachedMatrixType&#160;:&#160;<a class="el" href="classshark_1_1_one_class_svm_trainer.html#a374fc32f82524451b4e1c20a3177902a">shark::OneClassSvmTrainer&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_radius_margin_quotient.html#aba8f1ccdea62f3c8ede792f83647b518">shark::RadiusMarginQuotient&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_squared_hinge_c_svm_trainer.html#aaa0072f82e11ef975525ce5dff730d3f">shark::SquaredHingeCSvmTrainer&lt; InputType, CacheType &gt;</a></li>
<li>ClassifierType&#160;:&#160;<a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#aabd1a7c1a563d9c29039fabc8f1a57c2">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_kernel_s_g_d_trainer.html#a5488cda990c715d893dfba057fa88b40">shark::KernelSGDTrainer&lt; InputType, CacheType &gt;</a></li>
<li>ClusteringType&#160;:&#160;<a class="el" href="classshark_1_1_clustering_model.html#a729fe6709825d91c87ebec400e64aac0">shark::ClusteringModel&lt; InputT, OutputT &gt;</a></li>
<li>const_batch_range&#160;:&#160;<a class="el" href="group__shark__globals.html#ga4fd89aed7a568dc704a56c1f1e6271df">shark::Data&lt; Type &gt;</a>, <a class="el" href="group__shark__globals.html#gae5270d17d2c684dca942c8b23f0b083f">shark::LabeledData&lt; InputT, LabelT &gt;</a></li>
<li>const_batch_reference&#160;:&#160;<a class="el" href="group__shark__globals.html#gab8037000e57c8d73273e1323ec2efe72">shark::Data&lt; Type &gt;</a>, <a class="el" href="group__shark__globals.html#ga4068b98a58ae69560e458afc8f57c511">shark::LabeledData&lt; InputT, LabelT &gt;</a></li>
<li>const_element_range&#160;:&#160;<a class="el" href="group__shark__globals.html#gacf6e101b20eb431616afae009484307d">shark::Data&lt; Type &gt;</a>, <a class="el" href="group__shark__globals.html#ga768dbd90d9f89fa968cd4c2c279a68eb">shark::LabeledData&lt; InputT, LabelT &gt;</a></li>
<li>const_element_reference&#160;:&#160;<a class="el" href="group__shark__globals.html#ga9c2ebc84cb3ca390c09b6d4e32d5e7f6">shark::Data&lt; Type &gt;</a>, <a class="el" href="group__shark__globals.html#ga04ea4c6c5368461a8bafa49001695b7d">shark::LabeledData&lt; InputT, LabelT &gt;</a></li>
<li>const_iterator&#160;:&#160;<a class="el" href="structshark_1_1_batch_3_01shark_1_1blas_1_1compressed__vector_3_01_t_01_4_01_4.html#a11d56a8c9892dc085a4b25de9130e1f4">shark::Batch&lt; shark::blas::compressed_vector&lt; T &gt; &gt;</a>, <a class="el" href="classshark_1_1_data_view.html#a8040495749c12a5d12fafe92bef9769d">shark::DataView&lt; DatasetType &gt;</a>, <a class="el" href="classshark_1_1_k_h_c_tree.html#ad38d5c94143d0fdb8e1c0677edee6a8b">shark::KHCTree&lt; Container, CuttingAccuracy &gt;</a>, <a class="el" href="classshark_1_1statistics_1_1_result_table.html#ad2a8085f0d9504b1954427f3b5d8bd80">shark::statistics::ResultTable&lt; Parameter &gt;</a>, <a class="el" href="structshark_1_1statistics_1_1_statistics.html#ae6ad9c1c3206b8a4d6cb23e10c3a46b9">shark::statistics::Statistics&lt; Parameter &gt;</a>, <a class="el" href="structshark_1_1_weighted_data_batch.html#a0a589f16a9f45a55f7ce78ed8765d4df">shark::WeightedDataBatch&lt; DataBatchType, WeightBatchType &gt;</a></li>
<li>const_reference&#160;:&#160;<a class="el" href="structshark_1_1_batch_3_01shark_1_1blas_1_1compressed__vector_3_01_t_01_4_01_4.html#a04c9f2152498be58f2dc1aa768959272">shark::Batch&lt; shark::blas::compressed_vector&lt; T &gt; &gt;</a>, <a class="el" href="classshark_1_1_data_view.html#af6445b99d55d8f0db60da959d9c68edc">shark::DataView&lt; DatasetType &gt;</a>, <a class="el" href="classshark_1_1_energy_storing_tempered_markov_chain.html#aa200ee423276beeffc81372037e1c926">shark::EnergyStoringTemperedMarkovChain&lt; Operator &gt;</a>, <a class="el" href="classshark_1_1_markov_chain.html#abcef6f4d0cc60a3027d86954a2b7b9ce">shark::MarkovChain&lt; Operator &gt;</a>, <a class="el" href="classshark_1_1_tempered_markov_chain.html#a1935b29858910d6209635b4cea577ba1">shark::TemperedMarkovChain&lt; Operator &gt;</a>, <a class="el" href="structshark_1_1_weighted_data_batch.html#aa6720b317a8ce59206d04aad023c299c">shark::WeightedDataBatch&lt; DataBatchType, WeightBatchType &gt;</a></li>
<li>ConstBatchInputReference&#160;:&#160;<a class="el" href="classshark_1_1_abstract_kernel_function.html#af923f26f3d015156bb5ac159b302311b">shark::AbstractKernelFunction&lt; InputTypeT &gt;</a>, <a class="el" href="classshark_1_1_abstract_metric.html#aded3435936965bcee46366318e37cbc9">shark::AbstractMetric&lt; InputTypeT &gt;</a>, <a class="el" href="classshark_1_1_a_r_d_kernel_unconstrained.html#ac27c221548180995f36284a3f12971a4">shark::ARDKernelUnconstrained&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_gaussian_rbf_kernel.html#a1c968d5375b980746aaf76203b831ee5">shark::GaussianRbfKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a1f29257150948ec40a72088b71509195">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_kernel_s_g_d_trainer.html#a74cd4fda9509abea240aa92b0475cd19">shark::KernelSGDTrainer&lt; InputType, CacheType &gt;</a>, <a class="el" href="classshark_1_1_linear_kernel.html#a30749e39918416f4d06140f42d7a685a">shark::LinearKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_model_kernel.html#aecb95611b8fee31334f9f8d6c3bf56cc">shark::ModelKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_monomial_kernel.html#a94d3c34af6d70e991fc2090acaf3c4d4">shark::MonomialKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_normalized_kernel.html#af9c5f353cd3f34beff84c52229cf71d7">shark::NormalizedKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_point_set_kernel.html#a0c87c9b385342e7cb3fc963edde3453e">shark::PointSetKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_polynomial_kernel.html#a0d2eaf940ab632809186774d1ccccfef">shark::PolynomialKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_product_kernel.html#aa1a07a8b83d0b9f3062b29b52439a85a">shark::ProductKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_scaled_kernel.html#af44d5bf984a272c173913941b1c3b819">shark::ScaledKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_weighted_sum_kernel.html#a6c0691276ad97eaf6030cb2e5ab24679">shark::WeightedSumKernel&lt; InputType &gt;</a></li>
<li>ConstInputReference&#160;:&#160;<a class="el" href="classshark_1_1_abstract_kernel_function.html#a40e365cb5ec7d2776105a4aef4e78df3">shark::AbstractKernelFunction&lt; InputTypeT &gt;</a>, <a class="el" href="classshark_1_1_abstract_metric.html#ad56b88ee5dab414cc3fe71ef6a36aa19">shark::AbstractMetric&lt; InputTypeT &gt;</a>, <a class="el" href="classshark_1_1_a_r_d_kernel_unconstrained.html#a0b45119b5792de5cbd4bd75308ae4fe6">shark::ARDKernelUnconstrained&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_gaussian_rbf_kernel.html#a55e84483f00331c438161ea1e27894cf">shark::GaussianRbfKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_linear_kernel.html#ad39aed9c03cb3e712c16a7327c982726">shark::LinearKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_model_kernel.html#a82efb0e47f42150a482c0864efa3150b">shark::ModelKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_monomial_kernel.html#a87125421a78aeede185a2dd7de6f6035">shark::MonomialKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_normalized_kernel.html#aa82868b403205bf76c3a107cc8788f20">shark::NormalizedKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_point_set_kernel.html#a5e1058bfa96b254b7c34cc21362bdd8b">shark::PointSetKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_polynomial_kernel.html#acf26392888405951b6d965b14d98b8aa">shark::PolynomialKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_product_kernel.html#ad3ae67033326d5248ebf276c37113ad1">shark::ProductKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_scaled_kernel.html#ab85abce78b37836e18d288c605b01cf7">shark::ScaledKernel&lt; InputType &gt;</a>, <a class="el" href="classshark_1_1_weighted_sum_kernel.html#a6caa8268bc333f331d50366fc679419d">shark::WeightedSumKernel&lt; InputType &gt;</a></li>
<li>ConstLabelReference&#160;:&#160;<a class="el" href="classshark_1_1_abstract_loss.html#ac52e23c4acfdb2d08b55420101eee787">shark::AbstractLoss&lt; LabelT, OutputT &gt;</a></li>
<li>ConstOutputReference&#160;:&#160;<a class="el" href="classshark_1_1_abstract_loss.html#a50b1635725e3a6bbb6017a6e3c4a52ca">shark::AbstractLoss&lt; LabelT, OutputT &gt;</a></li>
<li>Container&#160;:&#160;<a class="el" href="group__shark__globals.html#ga9ef593d49b903835ca9f5f717a701154">shark::Data&lt; Type &gt;</a></li>
<li>CostType&#160;:&#160;<a class="el" href="classshark_1_1_cross_validation_error.html#ab74427e33bd1a45dd51e84a3cf7c401e">shark::CrossValidationError&lt; ModelTypeT, LabelTypeT &gt;</a></li>
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